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Hi All,</div>
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Due to the close of the campus, today's MET seminar will be canceled and rescheduled in the future.</div>
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Cheers,</div>
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Zhaohua<br>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Zhaohua Wu <zwu@fsu.edu><br>
<b>Sent:</b> Monday, November 7, 2022 10:56 AM<br>
<b>To:</b> eoas-seminar@lists.fsu.edu <eoas-seminar@lists.fsu.edu>; info@coaps.fsu.edu <info@coaps.fsu.edu><br>
<b>Subject:</b> MET Seminar, Thursday, Nov. 10, 2022</font>
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Hi all,</div>
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The following is the information related to this week's MET seminar, also see the attached flyer:</div>
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<b>Speaker</b>: Dr. Jie Sun, EOAS, Florida State University</div>
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<b>Title</b>: <span style="color:rgb(0,0,0); font-family:Calibri,Arial,Helvetica,sans-serif; font-size:12pt">Pushing the boundary of seasonal prediction with the lever of varying annual cycles </span></div>
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<div class="x_ContentPasted0"><b>Abstract</b>: Predicting climate anomalies months in advance is of tremendous socioeconomic value. Facing both theoretical and practical constraints, this realm of “seasonal prediction” progressed slowly in recent decades. Here
we devise an innovative scheme that pushes the boundary of seasonal prediction by recognizing and isolating distinct spatiotemporal footprints left by modes of climate variability that cause varying annual cycles in response to the solar forcing. The predictive
power harnessed from these spatiotemporal footprints results in a prediction skill surpassing existing models for seasonal forecasts of eastern China rainfall, which is one of the most challenging seasonal prediction problems. By considering varying annual
cycles explicitly, the new scheme is able to predict multi-provincial flood and/or drought occurrences seamlessly over an entire year. This novel scheme is generically applicable for improving seasonal forecasts over other monsoon regions and for critical
climate variables such as surface temperature and Arctic sea-ice extent.</div>
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<div class="x_ContentPasted0"><b>Time</b>: Thursday, Nov. 10, 2022 @3:00 PM</div>
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<div class="x_ContentPasted0"><b>Location</b>: 1044 EOA.</div>
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<div class="x_ContentPasted0"><b>Format</b>: in person</div>
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Welcome to join the seminar and enjoy cookies.</div>
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Cheers,</div>
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Zhaohua<br>
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<span style="font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(32,31,30)">Zhaohua Wu, Professor
</span><span style="font-size:11.5pt; font-family:"Courier New"; color:#201F1E"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span></p>
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<span style="font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(32,31,30)">Earth, Ocean, and Atmospheric Science Building, Room 6041, and</span></p>
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<span style="font-size:11.5pt; font-family:"Courier New"; color:#201F1E"><span style="font-family:Arial,Helvetica,sans-serif">Center for Ocean-Atmospheric Prediction Studies, Room 295 </span></span></p>
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<span style="font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(32,31,30)">Florida State University</span><span style="font-size:11.5pt; font-family:"Courier New"; color:#201F1E"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span></p>
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<span style="font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(32,31,30)">Tallahassee, Florida</span><span style="font-size:11.5pt; font-family:"Courier New"; color:#201F1E"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span></p>
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<span style="font-size:11.5pt; font-family:"Courier New"; color:#201F1E"><a href="mailto:zwu@fsu.edu"><span style="font-family:Arial,Helvetica,sans-serif">zwu@fsu.edu</span></a><span style="font-family:Arial,Helvetica,sans-serif"> </span></span></p>
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